1

Seasonal Azure Data Engineer Jobs (NOW HIRING)

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Intellisoft Technologies is seeking a proficient Azure Data Engineer to design, build, and maintain scalable data pipelines and architectures on the Azure cloud platform. The role involves ...

Azure Data Engineer

Jersey City, NJ · On-site

$80 - $85/hr

Azure Data Engineer Location: Jersey City, NJ - Hybrid 07311 Duration: 12 months+ Summary: Designs and builds data solutions using Microsoft Azure technologies. Responsibilities : * Develop data ...

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

This is a W2 role Short We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Requirements * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL - complex joins, window functions, stored procedures, and query performance tuning.

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, * Developer experience using Azure Databases: SQL databases, SQL servers, Azure Synapse ...

AIA Azure Data Engineer

Advance, NC · On-site

$99K - $119K/yr

Azure Data Engineer - Have hands on knowledge of the Azure data stack: o Azure ADLS Gen 2 o Azure Data Factory o Azure Data Bricks o Azure Synapse o Azure SQL Data Warehouse - Hands on skills in big ...

New

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Requirements * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL - complex joins, window functions, stored procedures, and query performance tuning.

Azure data Lead

Addison, TX · On-site

$61.50 - $80/hr

Role: Sr. Azure Data Engineer / Technical Lead Location: Addison, TX - Hybrid, 3 days onsite Duration: 6 Months Contract-to-Hire Interview: Final interview must be onsite Start: ASAP Must have MS ...

New

Azure Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Develop and maintain documentation for data engineering processes and solutions. Skills we're seeking * 2+ years of experience with Azure Data Engineering * Proficiency in Microsoft Fabric and ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Requirements: * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL -- complex joins, window functions, stored procedures, and query performance ...

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Azure Data Engineer (Microsoft Fabric) - Direct Hire, Hybrid (Columbus, OH) Position Type: Direct Hire (W-2) Location: Hybrid - 3 days/week in-person in Columbus, Ohio office Reports To: Director ...

AIA Azure Data Engineer

Advance, NC · On-site

$99K - $119K/yr

Azure Data Engineer - Have hands on knowledge of the Azure data stack: o Azure ADLS Gen 2 o Azure Data Factory o Azure Data Bricks o Azure Synapse o Azure SQL Data Warehouse - Hands on skills in big ...

New

Azure Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Develop and maintain documentation for data engineering processes and solutions. Skills we're seeking * 2+ years of experience with Azure Data Engineering * Proficiency in Microsoft Fabric and ...

Azure Data Engineer

New York, NY · On-site

$125K - $150K/yr

Azure Data Engineer Date: Start Date: 10/01/2025 Assist in building and maintaining the infrastructure needed for efficient extraction, transformation, and loading (ETL) of data from a variety of ...

Azure Data Engineer

Saint Paul, MN · On-site

$110 - $160/hr

Our client is seeking an Azure Data Engineer to assist with the modernization of an information system. Tasks * Participate in the analysis, design, development, implementation, and potentially ...

Showing results 21-40

Seasonal Azure Data Engineer information

See salary details

$15

$62

$88

How much do seasonal azure data engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for seasonal azure data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is the difference between Seasonal Azure Data Engineer vs Azure Data Engineer?

AspectSeasonal Azure Data EngineerAzure Data Engineer
CredentialsAzure certifications, data engineering skillsAzure certifications, data engineering skills
Work EnvironmentProject-based, temporary roles during peak seasonsFull-time, ongoing roles in organizations
Employer & IndustryCompanies with seasonal data needs, retail, financeVarious industries, permanent data teams
Search & Comparison IntentUnderstanding temporary vs permanent roles in Azure dataCareer growth, long-term opportunities in data engineering

The main difference between a Seasonal Azure Data Engineer and an Azure Data Engineer lies in the employment duration and project scope. Seasonal Azure Data Engineers work on short-term projects during specific seasons, often in retail or finance, while Azure Data Engineers hold permanent roles focused on ongoing data infrastructure management. Both roles require similar certifications and skills, but their employment nature and career paths differ.

What cities are hiring for Seasonal Azure Data Engineer jobs? Cities with the most Seasonal Azure Data Engineer job openings:
What are the most commonly searched types of Azure Data Engineer jobs? The most popular types of Azure Data Engineer jobs are:
What states have the most Seasonal Azure Data Engineer jobs? States with the most job openings for Seasonal Azure Data Engineer jobs include:

$108K - $129K/yr

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Intellisoft Technologies is seeking a proficient Azure Data Engineer to design, build, and maintain scalable data pipelines and architectures on the Azure cloud platform. The role involves collaborating with data scientists and business stakeholders to deliver high-quality data solutions that enable data-driven decision-making.
Responsibilities:
• Design, develop, and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.
• Build scalable data solutions using Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads.
• Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.
• Write efficient, reusable, and maintainable code primarily in Python and SQL to transform and load data across various systems.
• Collaborate with cross-functional teams including data scientists, analysts, and business users to gather requirements and deliver data solutions that meet business needs.
• Monitor data pipeline performance and implement improvements for reliability, scalability, and optimization.
• Ensure data quality, governance, and compliance within all data engineering efforts.
• Troubleshoot and resolve data-related issues, working closely with cloud infrastructure and platform teams.
• Document data architecture, workflows, and processes to support ongoing maintenance and knowledge sharing.
Qualifications:
Required:
• Hands-on experience with data engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and Snowflake.
• Design, develop, and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.
• Build scalable data solutions using Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads.
• Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.
• Write efficient, reusable, and maintainable code primarily in Python and SQL to transform and load data across various systems.
• Collaborate with cross-functional teams including data scientists, analysts, and business users to gather requirements and deliver data solutions that meet business needs.
• Monitor data pipeline performance and implement improvements for reliability, scalability, and optimization.
• Ensure data quality, governance, and compliance within all data engineering efforts.
• Troubleshoot and resolve data-related issues, working closely with cloud infrastructure and platform teams.
• Document data architecture, workflows, and processes to support ongoing maintenance and knowledge sharing.
Company:
Intellisoft Technologies is an information technology company offering big data and clouding solutions. Founded in 1997, the company is headquartered in Irving, USA, with a team of 201-500 employees. The company is currently Growth Stage.